Articles

When AI answers come from your data, testing must ensure they come from the right data — and nothing else.

Generative AI agents are transforming .NET development by helping developers automate repetitive coding tasks, generate unit tests, assist with debugging, document code, and accelerate CI/CD workflows.

The author's personal website, salih.dev, currently redirects to another site, but they want to create a proper site with custom redirects.

Codex and Claude Code are two of the strongest AI coding assistants available, but they approach software development differently. Codex focuses on autonomous execution, while Claude Code emphasizes developer collaboration and reasoning quality.

Discover how to build an AI agent that runs its own LLM experiments with autoresearch, an open-source Python tool that automates the process of training language models.

Most AI support agent tutorials focus on resolving FAQs, but this approach breaks down when dealing with sensitive tickets. This article presents a pattern for escalation-first design, which commits routing decisions before text generation and verifies answers with AI judges.

As a developer, I've been taking freelance assessments and Discord job leads more seriously than usual. But what I found in a fake job assessment repo left me shaken.

Discover the power of Manis AI and learn how to automate real-world projects with this comprehensive guide.

Most companies have AI agents running in various projects or departments, but few have managed to roll them out well across an entire organization. This article tries to answer the question: What is the best organizational structure for a team of AI agents?

In this article, we explore the concept of building a multi-tool shopping assistant that uses artificial intelligence to answer real questions and provide a more personalized shopping experience.

The announcement of OpenAI Frontier marks an important organizational inflection point in how companies are adopting AI, transitioning from AI as a tool to AI as an organizational capability.

Migrating to a new testing framework can be a daunting task, but by treating it as an infrastructure problem, you can make the process more manageable and efficient.